• DocumentCode
    1563418
  • Title

    Global asymptotic stability of a larger class of delayed neural networks

  • Author

    Arik, Sabri

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Istanbul Univ., Turkey
  • Volume
    5
  • fYear
    2003
  • Abstract
    This paper presents some new sufficient conditions for the uniqueness and global asymptotic stability (GAS) of the equilibrium point for a larger class of neural networks with constant time delay. It is shown that the use of a more general type of Lyapunov-Krasovskii functional enables us to establish global asymptotic stability of a larger class of delayed neural networks than those considered in some previous papers.
  • Keywords
    asymptotic stability; functional equations; neural nets; GAS; Lyapunov-Krasovskii functional; constant time delay; delayed neural networks; equilibrium point; global asymptotic stability; neural networks; uniqueness; Associative memory; Asymptotic stability; Cellular networks; Cellular neural networks; Delay effects; Hopfield neural networks; Linear matrix inequalities; Neural networks; Neurons; Sufficient conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
  • Print_ISBN
    0-7803-7761-3
  • Type

    conf

  • DOI
    10.1109/ISCAS.2003.1206414
  • Filename
    1206414
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1563418